The Tweet That Changed How I Think About AI + Knowledge In early April 2026, Andrej Karpathy (OpenAI co-founder, former Tesla AI Director) posted something deceptively simple: "Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest." He followed it up with a GitHub gist titled LLM Wiki an "idea file" describing a pattern for building knowledge bases that actually compound over time instead of rediscovering the same information on every query. I decided to build it for a real production problem. The Problem: RAG Has No Memory In My organization, we were running an SEO monitoring pipeline for our landing site. It used Cognee (a knowledge graph framework) backed by Neo4j + ChromaDB on a $35/month VM. Every day it would: Pull Google Search Console data Scrape our pages for SEO issues Query the knowledge graph Post a Slack report It worked. But it had a fundamental flaw the same flaw Karpathy describes in every RAG system.…